AI Visibility
measured18/100
Emerging · in Workflow Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals55/100
Some gaps
Avg Prompt Score
6
across 325 prompts
AI Share of Voice
6%
across 325 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Workflow Automation
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Whalesync is a B2B iPaaS/data-sync SaaS with strong AI-citation inputs from G2 (21 reviews, 4.9/5) and active evaluation-stage content like first-party “Whalesync vs …” pages and an MCP server/FAQ. The biggest AI visibility risk is conversion-stage crawlability/structured data: pricing and technical crawl controls (robots.txt/llms.txt/SSR) could not be verified via this audit tool, and SoftwareApplication/AggregateRating schema signals were not found in search.
Based on audit of whalesync.com · Oct 3, 2026